Publications associées à Level of support for evolution

Uncertainty-aware Flexibility Envelope Prediction in Buildings with Controller-agnostic Battery Models

Colin Neil Jones, Paul Scharnhorst, Rafael Eduardo Carrillo Rangel, Pierre-Jean Alet, Baptiste Schubnel

Buildings are a promising source of flexibility for the application of demand response. In this work, we introduce a novel battery model formulation to capture the state evolution of a single building. Being fully data-driven, the battery model identificat ...

IEEE2023

Graph-based approximate message passing iterations

Raphaël Jean Berthier

Approximate message passing (AMP) algorithms have become an important element of high-dimensional statistical inference, mostly due to their adaptability and concentration properties, the state evolution (SE) equations. This is demonstrated by the growing ...

OXFORD UNIV PRESS2023

Planted XY model: Thermodynamics and inference

Lenka Zdeborová, Guanhao Huang, Siyu Chen, Giovanni Piccioli

In this paper we study a fully connected planted spin glass named the planted XY model. Motivation for studying this system comes both from the spin glass field and the one of statistical inference where it models the angular synchronization problem. We de ...

2022

Multi-layer State Evolution Under Random Convolutional Design

Florent Gérard Krzakala, Lenka Zdeborová

Signal recovery under generative neural network priors has emerged as a promising direction in statistical inference and computational imaging. Theoretical analysis of reconstruction algorithms under generative priors is, however, challenging. For generati ...

2022

Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap

Florent Gérard Krzakala, Lenka Zdeborová, Luca Pesce, Bruno Loureiro, Bruno Loureiro

A simple model to study subspace clustering is the high-dimensional k -Gaussian mixture model where the cluster means are sparse vectors. Here we provide an exact asymptotic characterization of the statistically optimal reconstruction error in this model i ...

2022

Analyse des logiques de choix modal auprès de la population active dans l'aire urbaine de Bienne

Vincent Kaufmann, Guillaume Simon Joseph Drevon, Marc Antoine Messer, Eloi Antoine Maël Bernier, Ludy Juliana González Villamizar

Encourager le report modal des transports individuels vers des moyens de transports moins polluants constitue aujourd’hui l’objectif affiché des politiques de transport à travers toute l’Europe (Banister 2005, Flamm 2004). Cet objectif ambitieux exige une ...

EPFL2020

Analyse des logiques de choix modal auprès de la population active urbaine : étude comparée du Grand Genève, du Canton de Vaud, et des agglomérations de Berne et de Bienne

Vincent Kaufmann, Guillaume Simon Joseph Drevon, Marc Antoine Messer, Eloi Antoine Maël Bernier, Ludy Juliana González Villamizar

Encourager le report modal des transports individuels vers des moyens de transports moins polluants constitue aujourd’hui l’objectif affiché des politiques de transport à travers toute l’Europe (Banister 2005, Flamm 2004). Cet objectif ambitieux exige une ...

EPFL2020

Local Tomography of Large Networks Under the Low-Observability Regime

Ali H. Sayed, Augusto José Rabelo Almeida Santos

This article studies the problem of reconstructing the topology of a network of interacting agents via observations of the state-evolution of the agents. We focus on the large-scale network setting with the additional constraint of partial observations, wh ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Increasing reuse in learning objects authoring: a case study with the Cacuria tool

Roberto Gerson De Albuquerque Azevedo

Artifacts and best practices reuse as a way of improving educational resources and easing and speeding up the authoring process have been an important theme since the earliest research efforts on Learning Objects (LOs). In such a context, authoring tools t ...

ASSOC COMPUTING MACHINERY2019

Population structure determines the tradeoff between fixation probability and fixation time

Andreas Pavlogiannis

The rate of biological evolution depends on the fixation probability and on the fixation time of new mutants. Intensive research has focused on identifying population structures that augment the fixation probability of advantageous mutants. But these ampli ...

Springer2019